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dc.contributor.authorBansal, Saakshi
dc.contributor.authorChuluunbaatar, Yanjinlkham
dc.contributor.authorBrodie, Andrew
dc.contributor.authorVasdev, Nikhil
dc.date.accessioned2023-08-04T12:00:00Z
dc.date.available2023-08-04T12:00:00Z
dc.date.issued2023-06-30
dc.identifier.citationBansal , S , Chuluunbaatar , Y , Brodie , A & Vasdev , N 2023 , ' Applications of artificial intelligence for benign prostatic conditions ' , Artificial Intelligence Surgery , no. 3 , pp. 129-39 . https://doi.org/10.20517/ais.2023.07
dc.identifier.issn2771-0408
dc.identifier.urihttp://hdl.handle.net/2299/26568
dc.description© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
dc.description.abstractThe advancement of computational abilities have taken us from the days of machines performing simple, one dimensional tasks, to themselves learning and applying knowns to unknowns. Artificial intelligence (AI) has become integral in daily life, yet there is vast room for application in surgery. Oncology is a heavily researched field in medicine but it can unintentionally distract from benign counterparts which may equally cause significant impact on quality of life. Here, we review recent advances in the field of AI for diagnostics, management, prognostication and outcomes for benign prostatic conditions. This review evaluates the strengths and limitations of these approaches with implications for future research.en
dc.format.extent11
dc.format.extent1467439
dc.language.isoeng
dc.relation.ispartofArtificial Intelligence Surgery
dc.subjectArtificial intelligence
dc.subjectbenign prostate
dc.subjecturology
dc.subjectdeep learning
dc.titleApplications of artificial intelligence for benign prostatic conditionsen
dc.contributor.institutionCentre for Health Services and Clinical Research
dc.contributor.institutionBasic and Clinical Science Unit
dc.contributor.institutionExtracellular Vesicle Research Unit
dc.contributor.institutionDepartment of Clinical, Pharmaceutical and Biological Science
dc.contributor.institutionSchool of Life and Medical Sciences
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.20517/ais.2023.07
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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